Triple
T24992128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TIMSS |
E625474
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | large-scale assessment study |
C1541
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: large-scale assessment study Context triple: [TIMSS, instanceOf, large-scale assessment study]
-
A.
large-scale educational assessment
chosen
A large-scale educational assessment is a systematic evaluation process that measures the knowledge, skills, and competencies of large populations of learners, typically across schools, regions, or countries, using standardized instruments and procedures.
-
B.
educational assessment organization
An educational assessment organization is an entity that designs, administers, scores, and analyzes tests and evaluations to measure learners’ knowledge, skills, and educational outcomes.
-
C.
statewide testing program
A statewide testing program is a coordinated system of standardized assessments implemented across an entire state to measure student performance, monitor educational outcomes, and inform policy and instructional decisions.
-
D.
educational study
An educational study is a systematic investigation designed to examine, evaluate, and improve teaching methods, learning processes, educational policies, or academic outcomes within formal or informal learning environments.
-
E.
large-scale international survey
A large-scale international survey is a systematic data collection effort that gathers comparable information from substantial samples across multiple countries to analyze global patterns, differences, and trends.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
Created at: April 18, 2026, 6:03 a.m.